本文主要研究一下token bucket算法的实现
主要有如下几种:
可能等待token足够再继续
)/**
* The minimalistic token-bucket implementation
*/
public class MinimalisticTokenBucket {
private final long capacity;
private final double refillTokensPerOneMillis;
private double availableTokens;
private long lastRefillTimestamp;
/**
* Creates token-bucket with specified capacity and refill rate equals to refillTokens/refillPeriodMillis
*/
public MinimalisticTokenBucket(long capacity, long refillTokens, long refillPeriodMillis) {
this.capacity = capacity;
this.refillTokensPerOneMillis = (double) refillTokens / (double) refillPeriodMillis;
this.availableTokens = capacity;
this.lastRefillTimestamp = System.currentTimeMillis();
}
synchronized public boolean tryConsume(int numberTokens) {
refill();
if (availableTokens < numberTokens) {
return false;
} else {
availableTokens -= numberTokens;
return true;
}
}
private void refill() {
long currentTimeMillis = System.currentTimeMillis();
if (currentTimeMillis > lastRefillTimestamp) {
long millisSinceLastRefill = currentTimeMillis - lastRefillTimestamp;
double refill = millisSinceLastRefill * refillTokensPerOneMillis;
this.availableTokens = Math.min(capacity, availableTokens + refill);
this.lastRefillTimestamp = currentTimeMillis;
}
}
private static final class Selftest {
public static void main(String[] args) {
// 100 tokens per 1 second
MinimalisticTokenBucket limiter = new MinimalisticTokenBucket(100, 100, 1000);
long startMillis = System.currentTimeMillis();
long consumed = 0;
while (System.currentTimeMillis() - startMillis < 10000) {
if (limiter.tryConsume(1)) {
consumed++;
}
}
System.out.println(consumed);
}
}
}
token bucket算法,是基于qps来限流,其简单的实现,就是计算单位时间补充token的速率,然后每次tryConsume的时候根据速率修正availableTokens。